BOSTON--(BUSINESS WIRE)--Teikametrics has added Professor Jerry Hausman, one of the world’s
leading economists, to its scientific advisory board to assist in the
research and development of its Retail Optimization Platform (ROP).
Teikametrics is used by thousands of Amazon sellers and brands around
the world to optimize their stores for profitability using proprietary
econometrics and machine learning algorithms.

Using Teikametrics, the long-tail of small and medium businesses that
transact over 50% of Amazon’s total retail volume are empowered with
data science technology previously only available to the world’s largest
retailers who have had access to advanced data science and research
capabilities.

Professor Jerry Hausman is the MacDonald Professor of Economics at
Massachusetts Institute of Technology (MIT). Professor Hausman received
a D.Phil. (Ph.D.) degree from Oxford University where he was a Marshall
Scholar. He has been a faculty member at MIT for 43 years. Professor
Hausman received the John Bates Clark Award from the American Economics
Association in 1985 for the most outstanding contributions to economics
by an economist under 40 years of age. Professor Hausman has consulted
for the world’s leading retail brands and retailers including Starbucks,
Kellogg’s, Anheuser Busch, Tesco’s, and Home Depot.

“By adding Professor Hausman to our scientific advisory board, thousands
of Amazon sellers now have a titan in the field of applied econometrics
and applied microeconometrics applying ground breaking modeling to help
them become more profitable,” said Alasdair McLean-Foreman,
Teikametrics’ founder and CEO.

“Professor Hausman’s work has had tremendous influence and a
breakthrough impact in many areas of the economy, to now have his help
in the field of ecommerce and Amazon marketplace optimization is a huge
win for our Amazon sellers,” said McLean-Foreman.

“The internet and Amazon have reframed the world of retail. The problems
that Teikametrics is solving for sellers competing in the Amazon
ecosystem is exciting,” said Professor Hausman.

“There is an opportunity to help millions of sellers using data and
econometrics to help them make better decisions on pricing, advertising,
and inventory selection. The technology we are building at Teikametrics
is helping retailers and brands compete in this dynamic new retail
economy - this is the future of retail.”

About Professor Jerry HausmanJerry A. Hausman is the
MacDonald Professor of Economics at MIT. Professor Hausman received a
D.Phil. (Ph.D.) degree from Oxford University where he was a Marshall
Scholar. He has been a faculty member at MIT for 43 years. Professor
Hausman received the John Bates Clark Award from the American Economics
Association in 1985 for the most outstanding contributions to economics
by an economist under 40 years of age. He also received the Frisch Medal
from the Econometric Society and the Biennial Medal of the Modeling and
Simulation Society of Australia and New Zealand. In 2013 he was named a
Distinguished Fellow of the American Economic Association. Professor
Hausman’s research concentrates on econometrics and applied
microeconomics. His applied research has been in demand for
differentiated products, telecommunications, regulation, the effects of
taxation on the economy, and industrial organization. His CV is
available at http://econ-www.mit.edu/faculty/hausman.

About TeikametricsTeikametrics is the leading Retail
Optimization Platform (ROP) for sellers. Teikametrics optimizes billions
of transactions for thousands of entrepreneurs around the world selling
on Amazon and other marketplaces. Founded in 2012, Teikametricsuses
proprietary econometrics and machine-learning data models packaged in a
simple SaaS interface. We combine our best in class technology with
coaching and support from our world-class team based in Boston, MA.

Leading sellers and brands such as Thursday Boots, Power Practical,
Zipline Ski, and Mark Cuban’s Brands, gain a competitive advantage and
view of trends and optimization strategies to tackle the dynamic nature
of today’s ecommerce markets. For more information, visit teikametrics.com.